{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T02:41:22Z","timestamp":1768531282655,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"JST Strategic International Collaborative Research Program","award":["JPMJSC2002"],"award-info":[{"award-number":["JPMJSC2002"]}]},{"name":"JSPS Grant-in-Aid for Scientific Research (C)","award":["21K12042"],"award-info":[{"award-number":["21K12042"]}]},{"name":"JSPS KAKENHI","award":["JP20K19859"],"award-info":[{"award-number":["JP20K19859"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482482","type":"proceedings-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T18:33:11Z","timestamp":1635618791000},"page":"2060-2069","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction"],"prefix":"10.1145","author":[{"given":"Zhaonan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renhe","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Tokyo & Southern University of Science and Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zekun","family":"Cai","sequence":"additional","affiliation":[{"name":"University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zipei","family":"Fan","sequence":"additional","affiliation":[{"name":"University of Tokyo & Southern University of Science and Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology & AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyoung-Sook","family":"Kim","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology & AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Song","sequence":"additional","affiliation":[{"name":"University of Tokyo & Southern University of Science and Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryosuke","family":"Shibasaki","sequence":"additional","affiliation":[{"name":"University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157096.3157320"},{"key":"e_1_3_2_1_2_1","volume-title":"International Conference on Learning Representations (ICLR '15)","author":"Bahdanau Dzmitry","year":"2015"},{"key":"e_1_3_2_1_3_1","first-page":"17804","article-title":"Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting","volume":"33","author":"Bai Lei","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_4_1","volume-title":"Neural Spatio-Temporal Point Processes. In International Conference on Learning Representations (ICLR '21)","author":"Chen Ricky T. Q.","year":"2021"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157527"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301890"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/601"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313730"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271793"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330654"},{"key":"e_1_3_2_1_14_1","volume-title":"International Conference on Learning Representations (ICLR '17)","author":"Kipf Thomas N","year":"2017"},{"key":"e_1_3_2_1_15_1","unstructured":"Yang Li Nan Du and Samy Bengio. 2018a. Time-Dependent Representation for Neural Event Sequence Prediction. https:\/\/openreview.net\/pdf?id=HyrT5Hkvf  Yang Li Nan Du and Samy Bengio. 2018a. Time-Dependent Representation for Neural Event Sequence Prediction. https:\/\/openreview.net\/pdf?id=HyrT5Hkvf"},{"key":"e_1_3_2_1_16_1","volume-title":"Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting. In International Conference on Learning Representations (ICLR '18)","author":"Li Yaguang","year":"2018"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295420"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295127"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330937"},{"key":"e_1_3_2_1_20_1","volume-title":"Discrete Graph Structure Learning for Forecasting Multiple Time Series. In International Conference on Learning Representations (ICLR '21)","author":"Shang Chao","year":"2021"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969239.2969329"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05815-0"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219913"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"key":"e_1_3_2_1_25_1","volume-title":"Graph Attention Networks. International Conference on Learning Representations (ICLR '18)","author":"Petar Velivc","year":"2018"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369814"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00154"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380296"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/3367243.3367303"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295084"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330887"},{"key":"e_1_3_2_1_34_1","volume-title":"An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 1386--1391","author":"Yi Fei","year":"2018"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304222.3304273"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219922"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133024"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788570"},{"key":"e_1_3_2_1_39_1","volume-title":"Interpretable Deep Generative Spatio-Temporal Point Process. In AI for Earth Sciences Workshop at NeurIPS","author":"Zhu Shixiang","year":"2020"}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482482","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:49Z","timestamp":1750193329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482482"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":39,"alternative-id":["10.1145\/3459637.3482482","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482482","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}